双对像控制策略对直冷系统温控及电动汽车能量流影响特性

张晨光; 梁坤峰; 陈浩远; 王林; 陈彬; 曹勇; 段浩磊; 李硕鹏; 朱登宇; 何亚茹; 杨大鹏

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双对像控制策略对直冷系统温控及电动汽车能量流影响特性

更新时间：2025-09-15

- 双对像控制策略对直冷系统温控及电动汽车能量流影响特性
- Impact Characteristics of Dual-Objective Control Strategy on Temperature Control in Direct-Cooling System and Energy Flow in Electric Vehicles
- 默认刊物名称 2025年
- 作者机构：
  
  1.河南科技大学车辆与交通工程学院,河南省洛阳市471003
  2.豫新汽车热管理科技有限公司,河南省新乡市453000
  3.中创新航技术研究院（江苏）有限公司,江苏省常州市213000
  4.中航锂电（洛阳）有限公司,河南省洛阳市471000
- 作者简介：
  
  [ "梁坤峰，男，教授，河南科技大学车辆与交通工程学院，139492300093，。研究方向：电动汽车热管理。" ]
- 基金信息：
  
  国家自然科学基金(52378094)
- DOI：
  中图分类号： TB66
- 收稿：2024-12-19，
  
  修回：2025-03-12，
  
  录用：2025-03-12，
- 稿件说明：
移动端阅览
张晨光, 梁坤峰, 陈浩远, 等. 双对像控制策略对直冷系统温控及电动汽车能量流影响特性[J/OL]. 默认刊物名称, 2025.

ZHANG Chenguang, LIANG Kunfeng, CHEN Haoyuan, et al. Impact Characteristics of Dual-Objective Control Strategy on Temperature Control in Direct-Cooling System and Energy Flow in Electric Vehicles[J/OL]. Moren Journal, 2025.
张晨光, 梁坤峰, 陈浩远, 等. 双对像控制策略对直冷系统温控及电动汽车能量流影响特性[J/OL]. 默认刊物名称, 2025. DOI：

ZHANG Chenguang, LIANG Kunfeng, CHEN Haoyuan, et al. Impact Characteristics of Dual-Objective Control Strategy on Temperature Control in Direct-Cooling System and Energy Flow in Electric Vehicles[J/OL]. Moren Journal, 2025. DOI：

摘要

电动汽车热管理系统在提升车内舒适性和电池性能方面成为关键研究方向。针对乘员舱与动力电池的不同温度响应特性，提出了一种直冷系统架构，并基于环境温度、车辆运行状态及实时温度信息，设计了双对像温控策略。策略能够动态调整乘员舱与电池的温控优先级，确保整车最佳热管理效果。在实验环境舱中搭建了热管理系统台架，并开发了整车热管理系统的仿真模型。在不同行驶工况和环境温度条件下，对三种温控策略完成了性能对比。结果表明：双对像温控策略在多种环境温度条件下展现出优越的温度控制能力和能效表现，并在电池SOC恢复方面表现出最佳性能；在35℃的高温环境下，乘员舱和电池温度分别在51s、547s达标；在-7℃的低温环境下，乘员舱和电池温度分别在127与365s内达预设值，且SOC恢复率显著提高。此外，尽管双对像温控策略增加了能耗（相比乘员舱温控策略高出约1.2%-3.0%），但显著提升了电池温控效率和整体系统性能，具有较高的实际应用潜力。

Abstract

The thermal management system of electric vehicles has become a key research focus for enhancing cabin comfort and battery performance. To address the different temperature response characteristics of cabin and power battery

this study proposes a direct cooling system architecture. A dual-objective temperature control strategy was developed based on environmental temperature

vehicle operating status

and real-time temperature information

enabling dynamic adjustment of thermal control priorities between the cabin and battery to ensure optimal system performance. A thermal management system test bench was constructed in an environmental chamber

and a simulation model of the vehicle thermal management system was developed. Performance comparisons were conducted among three control strategies under various driving conditions and environmental temperatures. Results demonstrate that the dual-objective strategy exhibits superior temperature control capability and energy efficiency across different environmental conditions

along with optimal battery state-of-charge (SOC) recovery performance. Under 35°C high-temperature conditions

the cabin and battery achieved target temperatures within 51s and 547s respectively

while under -7°C low-temperature conditions

they reached preset values within 127s and 365s with significantly improved SOC recovery rate. Although the dual-objective strategy slightly increases energy consumption (approximately 1.2%-3.0% higher than cabin-priority strategy)

it substantially enhances battery thermal control efficiency and overall system performance

demonstrating high potential for practical applications.

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references

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